Embedded Computing Design

We’ve defined AIoT on multiple occasions; it’s where AI intersects with the IoT. And for our purposes, it typically involves the Industrial IoT, aka IIoT.

A typical design goal is to maximize the operational efficiencies of your system. However, that likely includes designing systems around the latest GPUs, and that can be a daunting task.

During a recorded presentation from  embedded world 2021, Rich and Brandon are joined by Technology Editor Curt Schwaderer, who doubles as Vice President of Engineering at intelligence and security provider Yaana Technologies. The three discuss how the tech industry in particular and connected organizations in general have transitioned from protecting devices from attacks to accepting they will be hacked and mitigating losses to modern threat intelligence and modeling strategies. They then look at this evolution through the lens of employees, who are handling and working with sensitive information and IP, working from home.

The analysts all agree—the spend for AI hardware (and software) will be going through the roof in short order.

There’s been a shift in the security outlook, at least in my eyes.

Security is clearly in the spotlight these days, and for good reason—hacks continue on a regular basis.

When you’re looking for somebody with a bird’s eye view of the electronics industry, there aren’t too many people with a better handle on things than the CEO of Avnet, Phil Gallagher.

Even though Embedded World 2021 has gone digital, the opportunities for education are just as plentiful.

You asked for high performance in a small, rugged design. Now you have it.

Embedded World is here, but it looks very different this year. The pandemic has caused the show to turn virtual, so meetings take place via electronic means rather than face-to-face.

Security is vital. However, there are many different ways to approach security.

We’ve been hearing about the benefits of Edge computing and the ability to perform AI at that Edge for quite some time.

Just when you thought you had plugged all the holes, more vulnerability points pop up.

FPGAs represent a comfort zone for many design engineers.

Alliance Memory recently expanded its offering of high-speed CMOS mobile low-power SDRAMs with new LPDDR4 devices that all feature on-chip ECC.

What do you get when you cross high-bandwidth memory with artificial intelligence (AI)?

The fear (that’s probably too strong of a word) surrounding silicon carbide (SiC) power semiconductors has subsided for the most part.

Wind River has been king of the RTOS hill for a long time. We can debate whether they are still the reigning king.

I detect a disconnect—display technology continues to evolve. Not necessarily at breakneck speed, but fast enough that you want to upgrade your technology every few (five?) years.

The push today is to move AI out to the Edge. But can we handle the processing that’s required for AI out on the Edge?